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Dynamics of non-convolution operators and holomorphy types
(Academic Press Inc Elsevier Science, 2018-12)
In this article we study the hypercyclic behavior of non-convolution operators defined on spaces of analytic functions of different holomorphy types over Banach spaces. The operators in the family we analyze are a composition ...
Hypercyclic behavior of some non-convolution operators on H(CN)
(Theta Foundation, 2017-01)
We study hypercyclicity properties of a family of non-convolution operators defined on the spaces of entire functions on CN. These operators are a composition of a differentiation operator and an affine composition operator, ...
Hypercyclic Convolution Operators On Spaces Of Entire Functions
(Theta FoundationBucharest, 2016)
Strongly Mixing Convolution Operators on Fréchet Spaces of Holomorphic Functions
(Birkhauser Verlag Ag, 2014-11)
A theorem of Godefroy and Shapiro states that non-trivial convolution operators on the space of entire functions on (Formula Presented.) are hypercyclic. Moreover, it was shown by Bonilla and Grosse-Erdmann that they have ...
Hypercyclic convolution operators on Fréchet spaces of analytic functions
(Academic Press Inc Elsevier Science, 2007-12)
A result of Godefroy and Shapiro states that the convolution operators on the space of entire functions on Cn, which are not multiples of identity, are hypercyclic. Analogues of this result have appeared for some spaces ...
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?
(2020-09-01)
Due to their number of parameters, convolutional neural networks are known to take long training periods and extended inference time. Learning may take so much computational power that it requires a costly machine and, ...
Two weighted inequalities for convolution maximal operators
(Universitat Autònoma de Barcelona, 2002-12)
Let ψ: ℝ → [0, ∞) an integrable function such that ψχ(-∞,0) = 0 and ψ is decreasing in (0, ∞). Let τhf(x) = f(x - h), with h ∈ ℝ \ {0} and f R(x) = 1/Rf(x/R), with R > 0. In this paper we characterize the pair of weights ...
Rate-energy-accuracy Optimization Of Convolutional Architectures For Face Recognition
(Academic Press in Elsevier ScienceSan Diego, 2016)
Rate-energy-accuracy Optimization Of Convolutional Architectures For Face Recognition
(ACADEMIC PRESS INC ELSEVIER SCIENCESAN DIEGO, 2016)
Boundedness of convolution operators with smooth kernels on Orlicz spaces
(Polish Academy of Sciences. Institute of Mathematics, 2002-12)
We study boundedness in Orlicz norms of convolution operators with integrable kernels satisfying a generalized Lipschitz condition with respect to normal quasidistances of ℝn and continuity moduli given by growth functions.